tensorflow.slice_input_producer

功能主要是利用一个队列给网络结构进行输入，tensorlist：其实就是网络的输入输出，相当于做了一个组合

def slice_input_producer(tensor_list, num_epochs=None, shuffle=True, seed=None,                         capacity=32, shared_name=None, name=None):  """Produces a slice of each `Tensor` in `tensor_list`.  Implemented using a Queue -- a `QueueRunner` for the Queue  is added to the current `Graph`'s `QUEUE_RUNNER` collection.  Args:    tensor_list: A list of `Tensor` objects. Every `Tensor` in      `tensor_list` must have the same size in the first dimension.    num_epochs: An integer (optional). If specified, `slice_input_producer`      produces each slice `num_epochs` times before generating      an `OutOfRange` error. If not specified, `slice_input_producer` can cycle      through the slices an unlimited number of times.    shuffle: Boolean. If true, the integers are randomly shuffled within each      epoch.    seed: An integer (optional). Seed used if shuffle == True.    capacity: An integer. Sets the queue capacity.    shared_name: (optional). If set, this queue will be shared under the given      name across multiple sessions.    name: A name for the operations (optional).  Returns:    A list of tensors, one for each element of `tensor_list`.  If the tensor    in `tensor_list` has shape `[N, a, b, .., z]`, then the corresponding output    tensor will have shape `[a, b, ..., z]`.  Raises:    ValueError: if `slice_input_producer` produces nothing from `tensor_list`.  """